About 教学视频生成
Scenext MCP Server connects to the Scenext AI video generation platform to create educational explainer videos from topics. It is for users building topic-based learning videos through MCP-compatible clients.
Key features
- 01Generate educational explainer videos
- 02Create videos from topics
- 03Connect locally or remotely
Use cases
- 01Turn a lesson topic into an explainer video
- 02Generate educational videos through an MCP client
MCP support
The MCP server integrates Scenext video generation with MCP clients. It supports local uvx setup and remote streamable HTTP access, both using an API key.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.scenext.cn/sse?api_key=your_actual_api_key_hereclaude mcp add --transport sse scenext https://mcp.scenext.cn/sse?api_key=your_actual_api_key_here{"mcpServers":{"scenext":{"type":"sse","url":"https://mcp.scenext.cn/sse?api_key=your_actual_api_key_here"}}}Open in Cursor{"servers":{"scenext":{"type":"sse","url":"https://mcp.scenext.cn/sse?api_key=your_actual_api_key_here"}}}Open in VS Code{"mcpServers":{"scenext":{"type":"sse","url":"https://mcp.scenext.cn/sse?api_key=your_actual_api_key_here"}}}{"mcpServers":{"scenext":{"serverUrl":"https://mcp.scenext.cn/sse?api_key=your_actual_api_key_here"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
Scenext MCP Server
An MCP server that integrates with Scenext AI video generation platform to create educational explanation videos based on topics.
一个集成 Scenext AI 视频生成平台的 MCP 服务器，可以根据题目生成教学讲解视频。
Quick Start / 快速开始
本地接入（uvx模式）：
{
"mcpServers": {
"scenext": {
"command": "uvx",
"args": ["scenext-mcp"],
"env": {
"SCENEXT_API_KEY": "your_actual_api_key_here"
}
}
}
}
远程接入（streamable-http）：
{
"mcpServers": {
"scenext": {
"type": "streamable-http",
"url": "https://mcp.scenext.cn/mcp/",
"headers": {
"Authorization": "Bearer your_actual_api_key_here"
}
}
}
}
Some clients do not support the headers field. You can manually configure and add the request header "Authorization=Bearer your_actual_api_key_here".
For detailed documentation:
License / 许可证
MIT License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.